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Utilization of artificial intelligence in technical diagnostics
Konečný, Antonín ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The diploma thesis is focused on the use of artificial intelligence methods for evaluating the fault condition of machinery. The evaluated data are from a vibrodiagnostic model for simulation of static and dynamic unbalances. The machine learning methods are applied, specifically supervised learning. The thesis describes the Spyder software environment, its alternatives, and the Python programming language, in which the scripts are written. It contains an overview with a description of the libraries (Scikit-learn, SciPy, Pandas ...) and methods — K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees (DT) and Random Forests Classifiers (RF). The results of the classification are visualized in the confusion matrix for each method. The appendix includes written scripts for feature engineering, hyperparameter tuning, evaluation of learning success and classification with visualization of the result.
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Divergent standards of living among similar households
Charvát, Daniel
The diploma thesis examines sources of poverty and material deprivation among households that exhibit similar characteristics in the Czech Republic. The data originate from the European Union - Survey on Income and Living Conditions between years 2009 - 2015. For the analysis, two rounds of binomial logistic regressions were carried out with poverty status and material deprivation as dependent factors. First, a total of 28 400 unique households were included in both models. Afterwards, a nearest-neighbor matching procedure was used to pair households that (1) live in poverty and (2) are materially deprived. That led to (1) 5 378 and (2) 9 406 observations for the subsequent estimations. The outcomes suggest that even when the similarity between households is accounted for the unemployment status is the most influential factor of poverty and material deprivation, alongside with low equivalised disposable income. Furthermore, the households for which housing costs entail great burden are among the more threatened. Numerous households are more likely to be poor and deprived while larger houses and flats are related with lesser odds of poverty and material deprivation.
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Localization of People in the Building
Randýsek, Vojtěch ; Orság, Filip (referee) ; Sakin, Martin (advisor)
The aim of this thesis is to create a personal indoor positioning system. In this work, new systembasedonaBluetoothtechnologyisproposed.Personlocalizationisaccomplishedby usingthefingerprintingmethod.Proposedsystemconsistsofadatabase,awebapplication, a hardware layer and communication services. For the purpose of demonstration of the proposed system a video was made. System in the video, using propsed methods, gained standard accuracy of 2.46 m and standard deviation of 2 m. These results show that the combination of used technology leads to a succesful localization of people in buildings.
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Detection of atrial fibrillation in ECG
Húsková, Michaela ; Vítek, Martin (referee) ; Maršánová, Lucie (advisor)
Aim of this thesis is description of problems of atrial fibrillation and methods that could be used for detection in the electrocardiogram. The introductory part of the theoretical analysis deals with the principle of electrophysiology of the heart and mainly the pathophysiology of atrial fibrillation. Additionally the work is focused on describing methods on automatic atrial fibrillation detection and capabilities of PhysioNet database. In the practical part methods are implemented in the MATLAB environment. After using the statistics to evaluate the quality of the parameters, the automatic classification of the data was performed by the method of The Nearest Neighbour. Finally, the accuracy of testing is presented.
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Optimization of Routes for Travel Agencies
Hal, Marek ; Kučera, Petr (advisor) ; Klára, Klára (referee)
This diploma thesis deals with an issue of tour-routes and an optimization of routes for travel agencies, namely the Rialto travel agency from the city Přerov. Two tours, offered by this travel agency, are optimized and three optimization methods are used - the nearest neighbour metho, the Vogel approximation Method and the savings method.
The first part of this thesis describes the theoretical issue of topic - the legislation concerning the travel agencies, transportation logistics, the usage of operations research in transport logistics and travelling salesman problem issue and methods used to solve the travelling salesman problem. In the second part the Rialto travel agency is briefly described, then the tours are described and these tours are optimized.
The last part contents the analysis of obtained results, the results are evaluated and suggestions considering the economic, temporal and legislative (rest and working hours of drivers) aspects are made.
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Optimization of Transportation Routes between a Chosen Company and Its Clients
Mazánek, Tomáš ; Kučera, Petr (advisor) ; Petr, Petr (referee)
The subject of this diploma thesis titled "Optimization of Transportation Routes between a Chosen Company and Its Clients" is the logistic routes optimization of the selected company, which is in thesis case company MITRANS - HK s.r.o. From company routes portfolio all circle routes are selected, which are lately solved by different methods, which are used for traveling salesman problem. Then the provided results are evaluated and compared between themselves and between real used routes variants. The thesis also handle the economic efficiency of optimization, which is presented on solved routes.
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Optimization of travel agency routes
Ötwösová, Karolina ; Kučera, Petr (advisor) ; Pavlíčková, Petra (referee)
Summary
This thesis deals with the optimization of chosen travel agency routes. The optimization is performed using several methods, e. g. nearest neighbor method, Vogel approximation method and spanning tree method. For each method a comparison is provided with the original route and map, which illustrates visited places and their distribution.
The theoretical part describes the origin of tourism, the Czech republic in international tourism, legislation and logistics. In this section the methods of the analytical part and their advantages and disadvantages are described.
In the final part of the work all the information obtained using the above methods are included in the final discussion and there the best method for chosen travel agency is featured.
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Optimization of transportation routes between a Chosen Company and their suppliers and customers
Habancová, Andrea ; Kučera, Petr (advisor) ; Křečková, Jana (referee)
The goal of this bachelor thesis is to determinate the suitable distributions routes for the SIASTEP,Ltd. by using two methods - The Vogel´s approximation Method and The Nearest neighbour Method. This Bachelor thesis has two parts.
The first part includes the explanation of technical terms and problems about logistics, logistics systems, chains, distributions problems and methods of their solution. This part of bachelor thesis describes methods used in the second part - Vogel´s approximation Method and The nearest neighbour Method.
The second part is practical. Objective for practical part was to found suitable tour regularly used by SIASTEP, Ltd., company by using selected methods from the theoretical part. Author of the bachelor thesis received two routes with their distances from the company. One of them takes place between Krupka city and cities in Germany. The second one takes place only on the territory of the Czech Republic. Then author of the bachelor thesis applied The nearest neighbour Method and The Vogel´s approximation Method. At the conclusion of this bachelor thesis are evaluated the obtained results.
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Instance based learning
Martikán, Miroslav ; Polách, Petr (referee) ; Honzík, Petr (advisor)
This thesis is specialized in instance based learning algorithms. Main goal is to create an application for educational purposes. There are instance based learning algorithms (IBL), nearest neighbor algorithms and kd-trees described theoretically in this thesis. Practical part is about making of tutorial application. Application can generate data, classified them with nearest neighbor algorithm and is able of IB1, IB2 and IB3 algorithm testing.
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Planning cash delivery to exchange offices using Vehicle Routing Problem with Time Series
Mouchová, Denisa ; Skočdopolová, Veronika (advisor) ; Fábry, Jan (referee)
The purpose of this bachelor thesis is to apply vehicle routing problem with time series to a real case study. At first vehicle routing problem is classified into Operations Research and Travelling Salesman Problem. Then a simple vehicle routing problem and a multiple vehicle routing problem are described as well as their modifications with time series. Some heuristic algorithms and steps of nearest neighbour algorithm are described. The next part is focused on the application. It starts with introducing the company that is specialized in an exchange business and description of the situation that presents its assignments. There are three assignments in total. The first and second assignments are related to the optimization of cash delivery to company's branches. The second one also allows the company send a parcel with cash instead of its own delivery. The third assignment is to calculate whether a conversion cars into propellant gas is budget-wise or not. These assignments are solved and the results are commented.
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